HNN-core: A Python software for cellular andcircuit-level interpretation of human MEG/EEG is a research paper published in The Journal of Open Source Software (2023). On theSindex it has a DataRank of 0. It has been cited 6 times.
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NINDS NIH HHS
Grant: R25 NS124530
NINDS NIH HHS
Grant: U24 NS129945
NIBIB NIH HHS
Grant: R01 EB022889
NINDS NIH HHS
Grant: R01 NS104585
NIMH NIH HHS
Grant: RF1 MH130415
NIMH NIH HHS
Grant: T32 MH115895
NIA NIH HHS
Grant: R01 AG076227
National Institutes of Health
Grant: 1RF1MH130415-01
Secondary analysis of resting state MEG data using the Human Neocortical Neurosolver software tool for cellular and circuit-level interpretation
National Institutes of Health
Grant: 5R01AG076227-03
CRCNS: US-Spain Research Proposal: Interpreting MEG Biomarkers of Alzheimer's Progression with Human Neocortical Neurosolver
National Institutes of Health
Grant: 2R01NS104585-05
Scalable and Sensor-Agnostic Software for Distributed Processing and Visualization of Multi-Site MEG/EEG Datasets
National Institutes of Health
Grant: 3R01EB022889-02S1
Human Neocortical Neurosolver
FWCI
0.78
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords